manik-hossain

a3c_trading

Trading with recurrent actor-critic reinforcement learning

adaptive-span

Adaptive Attention Span in Transformers

art-DCGAN

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.

augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

COVID-CT

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

DeepInfomaxPytorch

Learning deep representations by mutual information estimation and maximization

hiddenlayer

Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

manik-hossain/COVID-CT

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

manik-hossain/a3c_trading

Trading with recurrent actor-critic reinforcement learning

manik-hossain/augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

manik-hossain/Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

manik-hossain/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

manik-hossain/ChemGAN-challenge

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

manik-hossain/deep_rl

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, ASAC, TAC, ATAC)

manik-hossain/deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

manik-hossain/deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

manik-hossain/DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

manik-hossain/difftaichi

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

manik-hossain/fastbook

Draft of the fastai book

manik-hossain/garage

A toolkit for reproducible reinforcement learning research

manik-hossain/jukebox

Code for "Jukebox: A Generative Model for Music"

manik-hossain/LinearFold

The new source code of the LinearFold, linear-time prediction for RNA secondary structures

manik-hossain/MedicalZooPytorch

MedicalZooPytorch: A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

manik-hossain/MinkowskiEngine

Minkowski Engine is an auto-diff convolutional neural network library for high-dimensional sparse tensors

manik-hossain/ParlAI

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

manik-hossain/pase

Problem Agnostic Speech Encoder

manik-hossain/protein-ebm

Energy-based models for atomic-resolution protein conformations

manik-hossain/PySyft

A library for encrypted, privacy preserving machine learning

manik-hossain/pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

manik-hossain/pytorch-toolbelt

PyTorch extensions for fast R&D prototyping and Kaggle farming

manik-hossain/reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

manik-hossain/SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch.

manik-hossain/streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

manik-hossain/torchdyn

A PyTorch based library for all things neural differential equations

manik-hossain/torchxrayvision

TorchXrayVision: A library of chest X-ray datasets and models.

manik-hossain/touch

manik-hossain/yolact

A simple, fully convolutional model for real-time instance segmentation.