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Bloomberg
- New York
- http://mkareshk.github.io/
- @mkareshk
- in/mkareshk
Stars
real time face swap and one-click video deepfake with only a single image
Machine Learning Engineering Open Book
A minimal GPU design in Verilog to learn how GPUs work from the ground up
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Lightweight static analysis for many languages. Find bug variants with patterns that look like source code.
https://huyenchip.com/ml-interviews-book/
A beautiful, simple, clean, and responsive Jekyll theme for academics
Algorithm Design, Data Structures, ACM-ICPC, and IOI
Tutorials for SimFin - Simple financial data for Python
Curated list of project-based tutorials
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Best practices for segmentation of the corporate network of any company
⚡ Delightful Node.js packages and resources [BECAUSE OF TOO MUCH SPAM AND LOW-QUALITY SUBMISSIONS, SUBMISSIONS ARE PAUSED UNTIL JULY]
Research in investment finance with Python Notebooks
a collection of cv and resume styles
🖥️ A small, customizable and extensible MCU-class 32-bit RISC-V soft-core CPU and microcontroller-like SoC written in platform-independent VHDL.
Datasets, tools, and benchmarks for representation learning of code.
A topic-centric list of HQ open datasets.
pymft / python-cheatsheet
Forked from gto76/python-cheatsheetComprehensive Python Cheatsheet
A pattern-based approach to learn technical interview questions
Apache Superset is a Data Visualization and Data Exploration Platform
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.