Download live and historical data for Indian stock market

Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.

Entity Alignment toolkit (EAkit), a lightweight, easy-to-use and highly extensible PyTorch implementation of many entity alignment algorithms.

🦜🔗 Build context-aware reasoning applications

AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks

Inductive relation prediction by subgraph reasoning, ICML'20

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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

A list of all named GANs!

A general-purpose, flexible, and easy-to-use simulator alongside an OpenAI Gym trading environment for MetaTrader 5 trading platform (Approved by OpenAI Gym)

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Mask RCNN in TensorFlow

Must-read Papers on pre-trained language models.

An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017

Paper Lists for Graph Neural Networks

A high-performance distributed training framework for Reinforcement Learning

Applied AI(https://www.appliedaicourse.com/course/11/Applied-Machine-learning-course) Notes Prepared by me.

The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".

Python implementation of multi scale retinex with color restoration

📙 Amazon Web Services — a practical guide

Visual Studio Code

A web-based collaborative LaTeX editor