Jaykef

ai-algorithms

First-principle implementations of groundbreaking AI algorithms using a wide range of deep learning frameworks, accompanied by supporting 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

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.

Triton-nanoGPT

Custom triton kernels for training Karpathy's nanoGPT.

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/ai-algorithms

First-principle implementations of groundbreaking AI algorithms using a wide range of deep learning frameworks, accompanied by supporting research papers.

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/Triton-nanoGPT

Custom triton kernels for training Karpathy's nanoGPT.

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/training-deep-neural-nets

Jaykef/WeChat-Mini-Program-Practice

My hands-on experience of the WeChat Mini Program framework