0xgleb's Stars
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
timescale/timescaledb
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
huggingface/trl
Train transformer language models with reinforcement learning.
Syllo/nvtop
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel, NVIDIA and Qualcomm
goldmansachs/gs-quant
Python toolkit for quantitative finance
pmorissette/bt
bt - flexible backtesting for Python
pmorissette/ffn
ffn - a financial function library for Python
Mic92/sops-nix
Atomic secret provisioning for NixOS based on sops
ryantm/agenix
age-encrypted secrets for NixOS and Home manager
zhaofengli/attic
Multi-tenant Nix Binary Cache
ryan4yin/nix-config
❄️ My nix config for both desktops(NixOS+macOS) and homelab servers(NixOS).
snoyberg/conduit
A streaming data library
srid/emanote
Emanate a structured view of your plain-text notes
sannykim/solsec
A collection of resources to study Solana smart contract security, auditing, and exploits.
juspay/services-flake
NixOS-like services for Nix flakes
Burnett01/rsync-deployments
GitHub Action for deploying code via rsync over ssh
oap-project/raydp
RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.
ZixuanKe/PyContinual
PyContinual (An Easy and Extendible Framework for Continual Learning)
yaxitech/ragenix
age-encrypted secrets for NixOS; drop-in replacement for agenix
UIC-Liu-Lab/ContinualLM
An Extensible Continual Learning Framework Focused on Language Models (LMs)
drift-labs/protocol-v2
On-chain perpetuals dex with multiple liquidity mechanisms
nix-systems/nix-systems
Externally extensible flake systems
nix-community/ethereum.nix
Nix packages and NixOS modules for the Ethereum ecosystem. [maintainers=@aldoborrero,@brianmcgee,@selfuryon]
awakesecurity/nix-delegate
Convenient utility for distributed Nix builds
dydxprotocol/v4-clients
UIC-Liu-Lab/CPT
[EMNLP 2022] Continual Training of Language Models for Few-Shot Learning
VasanthakumarV/einops
Simplistic API for deep learning tensor operations
arbitraryexecution/forta-bot-templates
UIC-Liu-Lab/DGA
[EMNLP 2022] Adapting a Language Model While Preserving its General Knowledge
DeterminateSystems/attic
Multi-tenant Nix Binary Cache