Stars
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Lightweight coding agent that runs in your terminal
An optimizing compiler for decision tree ensemble inference.
cltai9145 / research
Forked from stjordanis/research-1Contains all the Jupyter Notebooks used in our research.
This project is about predicting stock prices with more accuracy using LSTM algorithm. For this project we have fetched real-time data from yfinance library.
The following repository contains Tesla Stock Price Prediction using Keras LSTM Model. The closing stock prices have been predicted based on previous 5 years data extracted from Yahoo Finance.
Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019
A fast multi-producer, multi-consumer lock-free concurrent queue for C++11
A game theoretic approach to explain the output of any machine learning model.
The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.
Share Hash Tables With Stable Key Hints Stored In Memory Mapped Files Between Arbitrary Processes
★ Fullfast transactional key-value memory-mapped B-Tree storage engine without WAL ★ Surpasses the legendary LMDB in terms of reliability, features and performance. ★ Used by half of Ethereum and m…
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction
Graph Neural Network Library for PyTorch
All the answers for exercises from Advances in Financial Machine Learning by Dr Marco Lopez de Parodo.
HateXplain AAAI 2021 Reproducibility Challange
Redis module for reading and writing Protobuf messages
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
List of references and online resources related to data science, machine learning and deep learning.
ToplingDB is a cloud native LSM Key-Value Store with searchable compression algo and distributed compaction
Approaching (Almost) Any Machine Learning Problem