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exploring-ai-optimization

Curated list of awesome material on optimization techniques to make artificial intelligence faster and more efficient 🚀

fingerprint-suite

Browser fingerprinting tools for anonymizing your scrapers. Developed by Apify.

finrl

FinRL: Financial Reinforcement Learning. 🔥

finrl-live-trading

Live Trading. Please star.

finrl-meta

FinRL­-Meta: A Universe for Data­-Driven Financial Reinforcement Learning. 🔥

finrl-tutorials

Tutorials for FinRL and FinRL-Meta. Please star.

flash-attention

Fast and memory-efficient exact attention

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

fortuna

A Library for Uncertainty Quantification.

get3d

ghfeat

[CVPR 2021] Generative Hierarchical Features from Synthesizing Images

github-actions-for-ci

github-slideshow

A robot powered training repository :robot:

gnn4nlp-papers

A list of recent papers about Graph Neural Network methods applied in NLP areas.

graph-theory

Julia and Python complex system applications in ecology, epidemiology, sociology, economics & finance; network science models and graph theory algorithms

grapher

Code that implements efficient knowledge graph extraction from the textual descriptions

gravity

Kubernetes application deployments for restricted, regulated or remote environments.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

h3

Language Modeling with the H3 State Space Model

hackingtool

ALL IN ONE Hacking Tool For Hackers

he4o

HE —— “信息熵减机系统”

helix_theory

theory of helix—— “螺旋论（可用来构建信息熵减机、及自然演化熵减机系统等）”

hello-github-actions

holistictraceanalysis

A library to analyze PyTorch traces.

how_to_optimize_in_gpu

This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.

hpc-python

Python in High Performance Computing

htmpapers

Numenta published papers code and data

incubator-seatunnel

SeaTunnel is a distributed, high-performance data integration platform for the synchronization and transformation of massive data (offline & real-time).

jepa-pytorch

Implementation of JEPA, Yann LeCun's vision of how AGI would be built, in Pytorch