-
Informifier.com
- Seawoods, The Arabian Sea 🌊
- zaidajani.com
- @zaidevelops
- in/zaidajani
Highlights
- All languages
- ASL
- Ada
- AppleScript
- Assembly
- Astro
- Batchfile
- Bicep
- Bikeshed
- C
- C#
- C++
- CSS
- Clojure
- CodeQL
- CoffeeScript
- Crystal
- Dart
- Dockerfile
- EJS
- Elixir
- Fluent
- Go
- HCL
- HTML
- Haskell
- JSON
- Java
- JavaScript
- Julia
- Jupyter Notebook
- Kotlin
- Lean
- Lua
- MDX
- Makefile
- Markdown
- Nginx
- Nix
- Nunjucks
- Objective-C
- Objective-C++
- PHP
- Perl
- Processing
- Python
- Ruby
- Rust
- SCSS
- Scala
- ShaderLab
- Shell
- Svelte
- Swift
- TypeScript
- Verilog
- Vim Script
- Vue
Starred repositories
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
Turn the MacBook notch into a living system surface.
Building a 2.3M-parameter LLM from scratch with LLaMA 1 architecture.
Implement a vanilla LSTM from scratch using numpy only
The download html file for nano64 project meant as a master reference
A resource for learning about Machine learning & Deep Learning
Minimal implementation of Multi-layer Recurrent Neural Networks (LSTM) for character-level language modelling in PyTorch
A repo to test out text generation methods (e.g. LSTM, VAE, etc.) and different transformers.
AI agents running research on single-GPU nanochat training automatically
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Video+code lecture on building nanoGPT from scratch
Train Tiny Stories dataset from the paper - "TinyStories: How Small Can Language Models Be and Still Speak Coherent English?"
small example of large language model (LLM) based on my blog
OpenLane is an automated RTL to GDSII flow based on several components including OpenROAD, Yosys, Magic, Netgen and custom methodology scripts for design exploration and optimization.
Create polished demo videos without editing skills. Mac/Windows/Linux
Story Generation using LSTM & GRU, leverages advanced Natural Language Processing (NLP) techniques to autonomously generate stories.
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
Neural Networks: Zero to Hero
A 16-bit RISC CPU with 32 instructions built with Digital for running on an FPGA.