AyushExel / NeoLinks
Deep learning library in python from scratch
☆45Updated 3 years ago
Alternatives and similar repositories for Neo
Users that are interested in Neo are comparing it to the libraries listed below
Sorting:
- This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).☆67Updated 6 years ago
- Machine learning algorithms☆113Updated 6 years ago
- Implementation of various Reinforcement Learning Algorithms☆27Updated 7 years ago
- Computer vision sabbatical study materials☆56Updated 7 years ago
- Contains useful deep learning notations for writing blogs, presentations, and papers.☆47Updated 5 years ago
- Predict mining prospects and mineral deposits using deep learning and satellite imagery☆60Updated 5 years ago
- Code for each week's short video of Siraj Raval Course on Reinforcement Learning "AI for Video Games"☆197Updated 7 years ago
- scratchai is a Deep Learning library that aims to store all Deep Learning algorithms. With easy calls to do all the common tasks in AI.☆97Updated last year
- Winners' code for Innoplexus Sentiment Analysis Hackathon: https://datahack.analyticsvidhya.com/contest/innoplexus-online-hiring-hackatho…☆15Updated 2 years ago
- This is the code for "Loss Functions Explained" By Siraj Raval on Youtube☆41Updated 7 years ago
- ☆37Updated 8 years ago
- This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube☆91Updated 7 years ago
- This is the code for "Research to Code" By Siraj Raval on Youtube☆57Updated 7 years ago
- Tutorials for DLVC NPTEL MOOC☆124Updated 3 years ago
- Material for the tutorial: "Deep Diving into GANs: from theory to production"☆209Updated 2 years ago
- This is the code for "C Programming for Machine Learning" By Siraj Raval on Youtube☆73Updated 7 years ago
- Material for MLT Reinforcement Learning workshops and study sessions☆51Updated 5 years ago
- My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2)☆36Updated 7 years ago
- Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis …☆93Updated 2 years ago
- ☆49Updated 5 years ago
- My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)☆39Updated 5 years ago
- The machine learning library you really understand.☆31Updated last year
- This is the code for "Deep Learning with Intel" By Siraj Raval on Youtube☆38Updated 7 years ago
- A collection of PyTorch notebooks for learning and practicing deep learning☆140Updated 5 years ago
- Codebase for my book "Python DeepLearning Projects" | Learn applied deep learning for various use-cases on NLP, CV and ASR using TensorFl…☆90Updated 2 years ago
- This is the code for "Google Dopamine (LIVE)" by Siraj Raval on Youtube☆65Updated 7 years ago
- PyTorch Implementations of Coursera's Deep Learning(deeplearning.ai) Specialization☆155Updated 4 years ago
- A summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.☆26Updated 7 years ago
- It includes projects related to self driving car/ Autonomous car.☆11Updated 6 years ago
- Everything I know. My knowledge wiki. My notes (mostly for fast.ai). Document everything. Brain dump.☆126Updated 2 years ago