Jaykef
I like to train large deep neural nets too 🧠🤖💥 | First Paper (AutoAgents: A Framework for Automatic Agent Generation) Accepted @ IJCAI 2024 | Mentor Karpathy
Pinned Repositories
ai-algorithms
First-principle implementations of various AI algorithms using a wide range of deep learning frameworks, accompanied by relevant research papers
AvaChat
AvaChat - is a realtime AI chat demo with animated talking heads - it uses Large Language Models (GPT, API2D GPT4, Cluade) as text inputs to D-ID's image-to-video talking head model (via D-ID stream api)
awesome-openAI
A curated list of all things awesome about OpenAI
GPT-Practice
My hands-on learning experience with transformers (GPTs)
micrograd.c
Port of Karpathy's micrograd in pure C. Micrograd is a tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.
min-patchnizer
Minimal, clean code for video/image "patchnization" - a process commonly used in tokenizing visual data for use in a Transformer encoder.
mlx-rag-gguf
Minimal, clean code implementation of RAG with mlx using gguf model weights
mlx_micrograd
mlx port of Karpathy's micrograd - a tiny scalar-valued autograd engine with a small PyTorch-like neural network library on top.
Vision-Pro-webOS
A vanila-weekend-boredom web implementation of visionOS in apple vision pro.
AutoAgents
[IJCAI 2024] Generate different roles for GPTs to form a collaborative entity for complex tasks.
Jaykef's Repositories
Jaykef/AvaChat
AvaChat - is a realtime AI chat demo with animated talking heads - it uses Large Language Models (GPT, API2D GPT4, Cluade) as text inputs to D-ID's image-to-video talking head model (via D-ID stream api)
Jaykef/awesome-openAI
A curated list of all things awesome about OpenAI
Jaykef/mlx-rag-gguf
Minimal, clean code implementation of RAG with mlx using gguf model weights
Jaykef/micrograd.c
Port of Karpathy's micrograd in pure C. Micrograd is a tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.
Jaykef/ai-algorithms
First-principle implementations of various AI algorithms using a wide range of deep learning frameworks, accompanied by relevant research papers
Jaykef/min-patchnizer
Minimal, clean code for video/image "patchnization" - a process commonly used in tokenizing visual data for use in a Transformer encoder.
Jaykef/Vision-Pro-webOS
A vanila-weekend-boredom web implementation of visionOS in apple vision pro.
Jaykef/mlx_micrograd
mlx port of Karpathy's micrograd - a tiny scalar-valued autograd engine with a small PyTorch-like neural network library on top.
Jaykef/GPT-Practice
My hands-on learning experience with transformers (GPTs)
Jaykef/mlx-minbpe
Jaykef/OpenAI-ImageGeneration-Vue3
Utilizing OpenAI's Image Generation api with vue3, vite and pinia(similar to the DALLE app)
Jaykef/Spatial-Computing
All you need to know about Spatial Computing - Research papers with code implementation
Jaykef/dummyGPT
A simple implementation of GPT usingPytorch
Jaykef/3D-Computing
Computing at 3D Scale with Threejs
Jaykef/BITStack-Beili-Stack
A University Stack Web App for coding Q&A
Jaykef/Jaykef.github.io
Jaykef/Vue-Practice
My hands-on learning experience with Vue.
Jaykef/AutoAgents
Generate different roles for GPTs to form a collaborative entity for complex tasks.
Jaykef/Coding-Interview-Prep
A prep repo for coding interviews
Jaykef/gradio-practice
Jaykef/Jaykef
Jaykef/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
Jaykef/mlx-examples
Examples in the MLX framework
Jaykef/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Jaykef/NodeJS-Practice
My hands-on practice of Nodejs
Jaykef/openai-cookbook
Examples and guides for using the OpenAI API
Jaykef/SadTalker
（CVPR 2023）SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
Jaykef/tfjs-models
Pretrained models for TensorFlow.js
Jaykef/training-deep-neural-nets
Jaykef/WeChat-Mini-Program-Practice
My hands-on experience of the WeChat Mini Program framework