ConradStack

ConradStack's Stars

• linkedin/Liger-Kernel

  Efficient Triton Kernels for LLM Training

  Language:Python2.7k119

• dhth/omm

  "on-my-mind": A keyboard-driven task manager for the command line

  Language:Go2302

• onceupon/Bash-Oneliner

  A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.

  10.1k614

• pretzelai/pretzelai

  The modern replacement for Jupyter Notebooks

  Language:TypeScript1.9k132

• microsoft/monaco-editor

  A browser based code editor

  Language:JavaScript39.7k3.5k

• WerWolv/ImHex

  🔍 A Hex Editor for Reverse Engineers, Programmers and people who value their retinas when working at 3 AM.

  Language:C++42.6k1.9k

• rancher-sandbox/rancher-desktop

  Container Management and Kubernetes on the Desktop

  Language:TypeScript5.8k273

• mezbaul-h/june

  Local voice chatbot for engaging conversations, powered by Ollama, Hugging Face Transformers, and Coqui TTS Toolkit

  Language:Python66739

• alzee/ash

  Restore your dotfiles, bash environment and configurations.

  Language:Shell1

• SilasMarvin/lsp-ai

  LSP-AI is an open-source language server that serves as a backend for AI-powered functionality, designed to assist and empower software engineers, not replace them.

  Language:Rust2k68

• OWASP/CheatSheetSeries

  The OWASP Cheat Sheet Series was created to provide a concise collection of high value information on specific application security topics.

  Language:Python27.5k3.9k

• microsoft/Phi-3CookBook

  This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.

  Language:Jupyter Notebook2.1k208

• context-labs/mactop

  mactop - Apple Silicon Monitor Top written in pure Golang! Under 1,000 lines of code.

  Language:Go1.3k27

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13k1k

• abi/secret-llama

  Fully private LLM chatbot that runs entirely with a browser with no server needed. Supports Mistral and LLama 3.

  Language:TypeScript2.4k138

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python25.9k2.9k

• apple/corenet

  CoreNet: A library for training deep neural networks

  Language:Python6.9k536

• FifiTheBulldog/ios-settings-urls

  A collection of iOS Settings URLs

  Language:TypeScript1.3k104

• SilinMeng0510/imgcatr

  cat for images, by RUST 🦀️

  Language:Rust2327

• cassanof/finetuning-harness

  Simple pipeline and library for finetuning HuggingFace LLMs

  Language:Python173

• noahshinn/reflexion

  [NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning

  Language:Python2.3k219

• pevers/gdcm-rs

  GDCM bindings for Rust

  Language:Rust76

• Enet4/dicom-rs

  Rust implementation of the DICOM standard

  Language:Rust41382

• mazurowski-lab/intrinsic-properties

  [ICLR 2024] Easy tools for measuring the label sharpness and intrinsic dimension of datasets and learned representations, which relate to model generalization and robustness.

  Language:Python142

• alfonmedela/triplet-loss-pytorch

  Highly efficient PyTorch version of the Semi-hard Triplet loss ⚡️

  Language:Python11418

• facebookresearch/MetaCLIP

  ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering

  Language:Python1.2k49

• facebookresearch/ImageBind

  ImageBind One Embedding Space to Bind Them All

  Language:Python8.2k751

• meta-llama/llama

  Inference code for Llama models

  Language:Python55.3k9.4k

• facebookresearch/hiera

  Hiera: A fast, powerful, and simple hierarchical vision transformer.

  Language:Python84239

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python4.9k534