Abhishek Thakur
I make videos about applied machine learning, deep learning, and data science.
I am the world's first Quadruple Grand Master on Kaggle.
My code-intensive book, "Approaching (Almost) Any Machine Learning Problem" can be downloaded for free from: https://bit.ly/approachingml. If you like it you can also buy paperback copies :)
Feel free to contact me for sponsorships, unboxing, etc.
Быстрее, меньше, умнее: как Liquid AI меняет представление об эффективности LLM
Arcee Conductor: Intelligent Model Routing ($200 free credits!)
BARK: Free Text to Speech & Voice Cloning
Build your own Stable Doodle: Sketch to Image
Stable Diffusion XL (SDXL) DreamBooth: Easy, Fast & Free | Beginner Friendly
The FASTEST way to build CHAT UI for LLAMA-v2
The EASIEST way to finetune LLAMA-v2 on local machine!
Run LLAMA-v2 chat locally
1-Click LLM Deployment!
100% Private & Local PDF ChatBot (without langchain)
Deploy FULLY PRIVATE & FAST LLM Chatbots! (Local + Production)
Train LLMs in just 50 lines of code!
Content Based Image Search: InstructBLIP + Sentence Transformers + FAISS
Building a summarizer using XGen-7b: Fully open source LLM by Salesforce
How to: AI Generated QR Codes (Using Python)
Finetune LLMs (llama, vicuna, gptneo, pythia) without any code!
🤗 AutoTrain: Train state-of-the-art image classification models (no code)
Custom object detection in Python using YOLOv8
Segment Anything + ControlNet + Stable Diffusion = 💥
Stable Diffusion Inpainting with Segment Anything Model (SAM)
How to create GPT-powered conversational bot for any website
How to become a data scientist in 30 days?
Data representations for neural networks
My First Neural Network using Keras
What is deep learning?
Kaggle's 30 Days Of ML (Competition Part-7): What are public and private leaderboard?
Kaggle's 30 Days Of ML (Competition Part-6): Model Stacking
Kaggle's 30 Days Of ML (Competition Part-5): Model Blending 101
Kaggle's 30 Days Of ML (Competition Part-4): Hyperparameter tuning using Optuna
Kaggle's 30 Days Of ML (Competition Part-3): What is Target Encoding and how does it work?