vincentvalton
Senior AI/ML Engineer @all.health; Ex-Computational Neuroscientist Postdoc & NIHR Fellow @UCL Topics: Hierarchical Bayesian modelling, RL, AI/ML in Health
University College LondonSan Francisco, Bay Area
vincentvalton's Stars
karpathy/LLM101n
LLM101n: Let's build a Storyteller
charlax/professional-programming
A collection of learning resources for curious software engineers
vincentvalton/NeurIPS2020_BayesianModelling
Supporting documents for NeurIPS 2020 ML4H paper
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
huggingface/diffusion-models-class
Materials for the Hugging Face Diffusion Models Course
meta-llama/codellama
Inference code for CodeLlama models
predict-idlab/plotly-resampler
Visualize large time series data with plotly.py
kserve/kserve
Standardized Serverless ML Inference Platform on Kubernetes
visenger/awesome-mlops
A curated list of references for MLOps
merveenoyan/my_notes
My small cheatsheets for data science, ML, computer science and more.
rodrigogregorioneri/serverless_integration
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
francof2a/fxpmath
A python library for fractional fixed-point (base 2) arithmetic and binary manipulation with Numpy compatibility.
sithu31296/PyTorch-ONNX-TFLite
Conversion of PyTorch Models into TFLite
zanellia/prometeo
An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
pyocd/pyOCD
Open source Python library for programming and debugging Arm Cortex-M microcontrollers
DynamicsAndNeuralSystems/pyspi
Comparative analysis of pairwise interactions in multivariate time series.
alexlenail/NN-SVG
Publication-ready NN-architecture schematics.
odwyersoftware/brunette
🟤 A best practice Python code formatter
uloco/theme-bluloco-dark
A fancy and sophisticated dark designer color scheme.
donnemartin/interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
h5bp/Front-end-Developer-Interview-Questions
A list of helpful front-end related questions you can use to interview potential candidates, test yourself or completely ignore.
arialdomartini/Back-End-Developer-Interview-Questions
A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
rbhatia46/Classification-Metrics
This repository discusses and implements most commonly used classification metrics.
rbhatia46/Data-Science-Interview-Resources
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
floodsung/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
NeuromatchAcademy/course-content
NMA Computational Neuroscience course
donnemartin/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.