Berdakh Abibullaev

ai-agents-for-beginners. 12 Lessons to Get Started Building AI Agents

Hands-On-Large-Language-Models. Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

generative-ai-for-beginners. 21 Lessons, Get Started Building with Generative AI

building-llm-applications-from-scratch. Code and Slides

AI-Crash-Course. AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks

courses. Courses that use D2L books

mamba.py. A simple and efficient Mamba implementation in pure PyTorch and MLX.

VideoMAE. [NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Transformers-for-EEG-classification. Transformer-based deep learning architecture for EEG classification tasks using PyTorch. Designed for decoding neural signals with temporal and spatial attention.

shallowMirrorTransformer. Implement of Shallow Mirror Transformer

chatgpt-backup. Single client side script to backup your entire ChatGPT conversation history

highlight-pointer. Highlight mouse pointer/cursor using a dot - useful for presentations, screen sharing, ...

pybci. Create real-time BCI's with the LSL, PyTorch, SKLearn and TensorFlow packages.

koodo-reader. A modern ebook manager and reader with sync and backup capacities for Windows, macOS, Linux, Android, iOS and Web

md2latex. Convert Markdown to IEEE-standard LaTeX for academic publishing.

fusuma. Multitouch gestures with libinput driver on Linux

fdpowermon. simple battery monitor for acpi laptops and freedesktop.org-compatible system trays

Applied-Deep-Learning. Applied Deep Learning Course

NeuroDecode. A framework for real-time brain-machine interface

einops. Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

learn-deep-learning. AI Summer's complete catalog of articles

notero. A Zotero plugin for syncing items and notes into Notion

best-of-ml-python. 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Lean. Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

market-toolkit. A collection of stock market resources and tools

stat479-deep-learning-ss19. Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

FinanceToolkit. Transparent and Efficient Financial Analysis

DL4Stock. This is the project for deep learning in stock market prediction.

ta-lib-python. Python wrapper for TA-Lib (http://ta-lib.org/).

Stock-Prediction-Models. Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

machine-learning-for-trading. Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

Awesome-Quant-Machine-Learning-Trading. Quant/Algorithm trading resources with an emphasis on Machine Learning

BDA_py_demos. Bayesian Data Analysis demos for Python

LaTeX-OCR. pix2tex: Using a ViT to convert images of equations into LaTeX code.

self-attention-cv. Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

nfb. Build experiments in real-time EEG-MEG paradigm.

eegsynth. Converting real-time EEG into sounds, music and visual effects

bottleneck-transformer-pytorch. Implementation of Bottleneck Transformer in Pytorch

IOPaint. Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.

uvadlc_notebooks. Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

openneuro-py. A client for accessing OpenNeuro datasets, written in Python.

Deep-Learning-Experiments. Videos, notes and experiments to understand deep learning

annotated-transformer. An annotated implementation of the Transformer paper.

former. Simple transformer implementation from scratch in pytorch. (archival, latest version on codeberg)

transformer-from-scratch. Code implementation from my blog post: https://fkodom.substack.com/p/transformers-from-scratch-in-pytorch

ganhacks. starter from "How to Train a GAN?" at NIPS2016

buffer_bci. Simple Matlab/Octave based framework for building Brain Computer/Machine Interfaces (BCI/BMI)s

gans-awesome-applications. Curated list of awesome GAN applications and demo

PyTorch-GAN. PyTorch implementations of Generative Adversarial Networks.

CVND_Exercises. Exercise notebooks for CVND.

fairscale. PyTorch extensions for high performance and large scale training.

handcalcs. Python library for converting Python calculations into rendered latex.

ML-YouTube-Courses. 📺 Discover the latest machine learning / AI courses on YouTube.

ML-foundations. Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

mne-rsa. Representational Similarity Analysis on MEG and EEG data

cpython-internals-course. My course work for CSC 253

moabb. Mother of All BCI Benchmarks

ONNX-to-TFLite. Converting the ONNX model representation to the TensorFlow Lite representation.

Tinyml. The Neural Network Framework Implemented in Pure Python.

awesome-self-supervised-learning. A curated list of awesome self-supervised methods

deepC. vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers

attn2d. Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction

GFPGAN. GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

pytorch-image-models. The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

vit-pytorch. Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Knowledge_Transfer.

Sketch-Generation-with-Drawing-Process-Guided-by-Vector-Flow-and-Grayscale. This is the official implementation of the AAAI 2021 accepted paper "Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale"

SimSwap. An arbitrary face-swapping framework on images and videos with one single trained model!

musegan. A Pytorch implementation of MuseGAN

poolformer. PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

neural_prophet. NeuralProphet: A simple forecasting package

jukebox. Code for the paper "Jukebox: A Generative Model for Music"

pytorch.github.io. The website for PyTorch

first-order-model. This repository contains the source code for the paper First Order Motion Model for Image Animation

Real-Time-Voice-Cloning. Clone a voice in 5 seconds to generate arbitrary speech in real-time

DeepFaceLive. Real-time face swap for PC streaming or video calls

Transformer. Transformer seq2seq model, program that can build a language translator from parallel corpus

machine_learning_lectures. Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

pytorchviz. A small package to create visualizations of PyTorch execution graphs

generative-models. Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

drawdata. Draw datasets from within Python notebooks.

NEUROML2020. Machine Learning in Neuroimaging data, Fall 2020.

pybrain_mne. Material for Pybrain 2020 MNE-Python workshop

iGAN. Interactive Image Generation via Generative Adversarial Networks

pattern_classification. A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

artificial-intelligence-for-trading. Content for Udacity's AI in Trading NanoDegree.

sparse_attention. Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

algorithm-whiteboard-resources. this is where we share notebooks/projects used in your youtube channel

Wav2Lip. This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

PyTorchStepByStep. Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"

Deep-Learning-with-PyTorch. Deep Learning with PyTorch, published by Packt

streamlit. Streamlit — A faster way to build and share data apps.

awesome-pentest. A collection of awesome penetration testing resources, tools and other shiny things

TorchLRP. A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).

attention-is-all-you-need-pytorch. A PyTorch implementation of the Transformer model in "Attention is All You Need".

labgraph. LabGraph is a Python framework for rapidly prototyping experimental systems for real-time streaming applications. It is particularly well-suited to real-time neuroscience, physiology and psychology experiments.

Subject-Independent-ERP-based-BCI. Matlab source code for the paper Subject-Independent ERP-based Brain-Computer Interface

fuckitpy. The Python error steamroller.

bibtex_to_csv. Python

deep-learning-model-convertor. The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

OpenBCI-visual-discrimination-exp. Experimenting with NodeJS and OpenBCI

deeplearning-mindmap. A mindmap summarising Deep Learning concepts.

machine-learning-mindmap. A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

EEG-ExPy. EEG Experiments in Python

P300-CNNT. 1D Convolutional Neural Networks for P300 detection from EEG signals

deep-learning-v2-pytorch. Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-learning. Repo for the Deep Learning Nanodegree Foundations program.

skorch. A scikit-learn compatible neural network library that wraps PyTorch

pytorch-lightning. Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

AI-for-Trading. Artificial Intelligence for Trading Projects at Udacity

neuroscience_tutorials. Some tutorials for students of neuroscience

mlxtend. A library of extension and helper modules for Python's data analysis and machine learning libraries.

2SRNN. Domain Adaption for sEMG-based Gesture Recognition with Recurrent Neural Networks

vscode-pytorch. Visual Studio Code (VS Code) extension offering code snippets when working with PyTorch.

arl-eegmodels. This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Deep-BCI. An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

cnn-benchmarks. Benchmarks for popular CNN models

CNN_Text_Classification. A PyTorch CNN for classifying the sentiment of movie reviews, based on the paper "Convolutional Neural Networks for Sentence Classification" by Yoon Kim (2014).

iso. Pop!_OS ISO production

blog_posts. Blog posts for matatat.org

DeepLearningFlappyBird. Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

jupyterlab-vim. :neckbeard: Vim notebook cell bindings for JupyterLab

libinput-gestures. Actions gestures on your touchpad using libinput

EEGNet. [Old version] PyTorch implementation of EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces - https://arxiv.org/pdf/1611.08024.pdf

BciPy. Python Brain-Computer Interface Software

mne_workshop_amsterdam. Materials for workshops on the open neural time series analysis toolbox MNE-Python

python_for_psychologists. Python for Psychologists teaching materials

Slides-SciPyConf-2018. A repository for public storage of slides given at the 17th Python in Science Conferences (2018)