Shivam Duggal

simple-mobile. A minimalist mobile bimanual robot tutorial - hardware, data, model training and inference.

vision-in-action. An open-source, full-stack robotic neck for active perception

DMD2. (NeurIPS 2024 Oral 🔥) Improved Distribution Matching Distillation for Fast Image Synthesis

Deep-RL-Notes. A collection of comprehensive notes on Deep Reinforcement Learning, customized for UC Berkeley's CS 285 (prev. CS 294-112)

CoCoNets. Python

PyTorchEMD. PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression

glTF. glTF – Runtime 3D Asset Delivery

blender-cli-rendering. Blender Python scripts for rendering images directly from command-line interface

SMPL. NumPy, TensorFlow and PyTorch implementation of human body SMPL model and infant body SMIL model.

PyMesh. Geometry Processing Library for Python

Video-summarization-research.

MAML-Pytorch. Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

IIC. Invariant Information Clustering for Unsupervised Image Classification and Segmentation

imsat. Reproducing code for the paper "Learning Discrete Representations via Information Maximizing Self-Augmented Training"

CCNet. CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

capsnet-traffic-sign-classifier. A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

bilm-tf. Tensorflow implementation of contextualized word representations from bi-directional language models

Video-Summarization-with-LSTM. Implementation of our ECCV 2016 Paper (Video Summarization with Long Short-term Memory)

unet. unet for image segmentation

gae. Implementation of Graph Auto-Encoders in TensorFlow

Mask_RCNN. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mAP. mean Average Precision - This code evaluates the performance of your neural net for object recognition.

DeepRecommender. Deep learning for recommender systems

quasi-rnn. Character-level Neural Translation using Quasi-RNNs

quasi-rnn. A PyTorch Implementation of "Quasi-Recurrent Neural Networks"

byteNet-tensorflow. ByteNet for character-level language modelling

ByteNet. A tensorflow implementation of French-to-English machine translation using DeepMind's ByteNet .

nmt. TensorFlow Neural Machine Translation Tutorial

nmt-tips. A tutorial about neural machine translation including tips on building practical systems

unsupervised-videos. Unsupervised Learning of Video Representations using LSTMs

pytorch-summary. Model summary in PyTorch similar to `model.summary()` in Keras

tensorflow-generative-model-collections. Collection of generative models in Tensorflow

tensorflow-mnist-VAE. Tensorflow implementation of variational auto-encoder for MNIST

pokemon_gan. Jupyter Notebook

YOLO-Object-Detection-Tensorflow. YOLO: Real-Time Object Detection using Tensorflow and easy to use

Convolutional-LSTM-in-Tensorflow. An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow