ritam-m Goto Github PK

abstractive_summarizer

Abstractive Text Summarization using Transformer

actor-critic-methods-paper-to-code

adversarial-semisupervised-semantic-segmentation

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

awesome-model-based-rl

A curated list of awesome model based RL resources (continually updated)

awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

awesome-nlg

A curated list of resources dedicated to Natural Language Generation (NLG)

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

bert-and-graph-bert-for-molecular-embedding

bicyclegan

bms_molecular_translation

Image-to-text translation of chemical molecule structures with deep learning (top-5% Kaggle solution)

boon

Datasets and code for results presented in the BOON paper

cherry

A PyTorch Library for Reinforcement Learning Research

computational-fluid-dynamics

Double Diffusive Convection Flow Implementation

counterfactualannot-semiope

[NeurIPS 2023] Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation. https://arxiv.org/abs/2310.17146

cv-pretrained-model

A collection of computer vision pre-trained models.

cyclegan

deep-coder

Re-implement DeepCoder (https://openreview.net/pdf?id=ByldLrqlx)

deep-flow-prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-with-python

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

deepcfd

DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

deepchem

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

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepsymregtorch

Loss regularizer and l0 to l0.5 error implementation trick: PyTorch implementation of the EQL network, a neural network for symbolic regression

discogan

dreamer-pytorch

pytorch-implementation of Dreamer (Model-based Image RL Algorithm)

drl-methods-for-process-control

dsno-pytorch