HenryNdubuaku/maths-cs-ai-compendium
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
EECS + MS AI + YC S25 = Cactus
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
Programming language for ML on XLA with JAX-level speed; compiles for CPU, TPUs/Nvidia GPUs, AMD GPUs, Apple GPUs, etc.
Comprehensive CUDA tutorials for Maths & ML with examples
Use Hugging Face with JavaScript
Kernels & AI inference engine for mobile devices.
Parameter-efficient transformer embeddings replace learned embeddings with hardware-aware polynomial expansions of token IDs.
Hand-derived memory-efficient VJPs for tuning LLMs on laptops.
Modelling The Brain's Response To Natural Scenes In The Bottleneck Space.
JAX library for training sub-4B foundation models for edge
Distributed machine learning on mobile phones
Decentralised ML engine to train on tiny edge devices.
A Bayesian Belief Network on ROS for robot facial expression.
A Library That Uses Quantized Diffusion Model With Clustered Weights For Efficiently Generating More Image Datasets On-Device.
Conditional Latent-Optimised Sequence Generative Adversarial Network For Creative Text Generation.
Progressive Language Enhancement Algorithm Using Masking Filling Transformers In A Markov Chain.
A Study of Gaussian Mixture Model In Three-Dimensional Phoneme Clustering.
Comparative Analysis of SOTA Vision Architectures; VGG, GoogleNet, ResNet & Vision Transformers.