San Jose

Sina Torfi

Elite
@astorfi

PhD & Developer working on Deep Learning, Computer Vision & NLP

TensorFlow-World. :earth_americas: Simple and ready-to-use tutorials for TensorFlow

4.5k

Deep-Learning-Roadmap. :satellite: Organized Resources for Deep Learning Researchers and Developers

3.2k

lip-reading-deeplearning. :unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

1.9k

speechpy. :speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/

883

3D-convolutional-speaker-recognition. :speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

790

Deep-Learning-NLP. :satellite: Organized Resources for Deep Learning in Natural Language Processing

440

CNTK-World. :earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK)

327

pythonic-automatic-email. :e-mail: Automated Customized Emails Using Python

133

3D-convolutional-speaker-recognition-pytorch. :speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

123

sequence-to-sequence-from-scratch. :speech_balloon: Sequence to Sequence from Scratch Using Pytorch

121

Large-Scale-AI-Blueprint. A comprehensive guide designed to empower readers with advanced strategies and practical insights for developing, optimizing, and deploying scalable AI models in real-world applications.

64

cor-gan. :unlock: COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records

57

QR_Code. QR Code Pattern Recognition and Message Extraction

53

LLM-Alignment-Project. A comprehensive template for aligning large language models (LLMs) using Reinforcement Learning from Human Feedback (RLHF), transfer learning, and more. Build your own customizable LLM alignment solution with ease.

39

attention-guided-sparsity. Attention-Based Guided Structured Sparsity of Deep Neural Networks

29

TensorFlow-World-Resources. :satellite: Organized & Useful Resources about Deep Learning with TensorFlow

21

Caffe_Deep_Learning. Python

14

differentially-private-cgan. Python

14

Create-LMDB-from-Numpy. Python

7

auto-punctuation-pytorch. Jupyter Notebook

6

Local-Histogram-Equalization. Python

5

awesome-deep-learning. A curated list of awesome Deep Learning tutorials, projects and communities.

5

Data-Structures-and-Algorithms. C++

4

audio-diffusion-tutorial. Exploring audio generation through diffusion models

4

gan-evaluation. Python

4

ML-workflow. Python

3

medgan. Generative adversarial network for generating electronic health records.

3

pytorch-tutorial. PyTorch Tutorial for Deep Learning Researchers

3

LLMetaLab. LLMetaLab

3

OpenCV-Installation. Shell

3

easy-tensorflow. Simple and comprehensive tutorials in TensorFlow

3

Leethcode. Python

3

awesome-production-machine-learning. A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

3

ecg-diagnosis. Deep learning for 12-lead ECG interpretation

2

Tensorflow-Project-Template. A best practice for tensorflow project template architecture.

2

the-gan-zoo. A list of all named GANs!

2

financial_calculator. Python

2

FinRL. FinRL: Financial Reinforcement Learning. 🔥

1

segment-anything. The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

1

tuning_playbook. A playbook for systematically maximizing the performance of deep learning models.

1

llm-course. Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

1

agentic-orchestration. Jupyter Notebook

1

astorfi.github.io. HTML

1

celltypist. A tool for semi-automatic cell type classification

1

drkostas.

1

autogen_flights_tutorial. Tutorial for AutoGen with Amadeus flights API, Parallel Function Calls

1

PlotNeuralNet. Latex code for making neural networks diagrams

1

transformers. 🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

1

coding-interview-university. A complete computer science study plan to become a software engineer.

1

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

1

PaddleOCR. Awesome multilingual OCR toolkits based on PaddlePaddle (multilingual recognition: English, Chinese, Korean, Japanese, German, French etc. 3.5M practical ultra lightweight OCR system, support training and deployment among server, mobile, embedded and IoT devices)

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