ResByte's Stars
charlax/professional-programming
A collection of learning resources for curious software engineers
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
ManimCommunity/manim
A community-maintained Python framework for creating mathematical animations.
danielmiessler/fabric
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
mem0ai/mem0
The Memory layer for your AI apps
haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Sinaptik-AI/pandas-ai
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
NielsRogge/Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
Doriandarko/claude-engineer
Claude Engineer is an interactive command-line interface (CLI) that leverages the power of Anthropic's Claude-3.5-Sonnet model to assist with software development tasks. This tool combines the capabilities of a large language model with practical file system operations and web search functionality.
google/magika
Detect file content types with deep learning
FelixKratz/SketchyBar
A highly customizable macOS status bar replacement
neetcode-gh/leetcode
Leetcode solutions
vikhyat/moondream
tiny vision language model
roboflow/notebooks
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
microsoft/presidio
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
langchain-ai/rag-from-scratch
phlippe/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
microsoft/Phi-3CookBook
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open sourced 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.
brevdev/notebooks
Collection of notebook guides created by the Brev.dev team!
qnguyen3/chat-with-mlx
An all-in-one LLMs Chat UI for Apple Silicon Mac using MLX Framework.
Garvit244/Leetcode
🎓Leetcode solutions in Python 📚
merveenoyan/smol-vision
Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜
mlops-discord/gpu-optimization-workshop
Slides, notes, and materials for the workshop
adammpkins/llama-terminal-completion
A Python application which interacts with the llama.cpp library to provide virtual assistant capabilities through the command line. It allows you to ask questions and receive intelligent responses, as well as generate Linux commands based on your prompts.
eemlcommunity/PracticalSessions2024
MedMaxLab/selfEEG
selfEEG: a Python library for Self-Supervised Learning on Electroencephalography (EEG) data
alphanumericslab/ecg-image-kit
A toolkit for analysis, synthesis, and digitization of electrocardiogram images
physionetchallenges/python-example-2024
Python example code for the PhysioNet Challenge 2024
ResByte/llm-notebooks
Colab notebooks to understand LLMs