Dominic Nyambane

coderfpv

AI & ML interests

Reinforcement Learning, Robotics

Recent Activity

liked a Space 6 days ago

Eliahu/Model-Atlas

liked a Space 27 days ago

ResembleAI/Chatterbox

liked a model 27 days ago

ResembleAI/chatterbox

View all activity

Organizations

liked a Space 6 days ago

105

Model Atlas

🗺

A demo for exploring and analyzing large-scale model repos

liked a Space 27 days ago

1.17k

Chatterbox TTS

🍿

Expressive Zeroshot TTS

liked 2 models 27 days ago

ResembleAI/chatterbox

Text-to-Speech • Updated 27 days ago • 470k • • 871

deepseek-ai/DeepSeek-R1-0528

Text Generation • Updated 28 days ago • 155k • • 2.12k

liked 3 models about 1 month ago

reacted to hesamation's post with ❤️ about 1 month ago

Post

3338

60+ Generative AI projects for your resume. grind this GitHub repo if you want to level up:
> LLM fine-tuning and applications
> advanced RAG apps
> Agentic AI projects
> MCP and A2A (new)

GitHub: https://github.com/aishwaryanr/awesome-generative-ai-guide/blob/main/resources/60_ai_projects.md

upvoted an article about 1 month ago

Article

Hugging Face and Cloudflare Partner to Make Real-Time Speech and Video Seamless with FastRTC

•

Apr 9

• 26

updated a collection about 2 months ago

TTS

Collection

text to speech • 5 items • Updated May 9

liked a model about 2 months ago

nvidia/parakeet-tdt-0.6b-v2

Automatic Speech Recognition • Updated May 22 • 965k • 1.16k

liked 2 models 2 months ago

nari-labs/Dia-1.6B

Text-to-Speech • Updated 25 days ago • 229k • • 2.59k

HiDream-ai/HiDream-I1-Full

Text-to-Image • Updated 10 days ago • 152k • • 901

liked 2 models 3 months ago

meta-llama/Llama-4-Maverick-17B-128E-Instruct

Image-Text-to-Text • Updated May 22 • 54.3k • • 357

meta-llama/Llama-4-Scout-17B-16E-Instruct

Image-Text-to-Text • Updated May 22 • 587k • • 963

reacted to burtenshaw's post with 🤗 3 months ago

Post

3345

NEW UNIT in the Hugging Face Reasoning course. We dive deep into the algorithm behind DeepSeek R1 with an advanced and hands-on guide to interpreting GRPO.

🔗

reasoning-course

This unit is super useful if you’re tuning models with reinforcement learning. It will help with:

- interpreting loss and reward progression during training runs
- selecting effective parameters for training
- reviewing and defining effective reward functions

This unit also works up smoothly toward the existing practical exercises form @mlabonne and Unsloth.

📣 Shout out to @ShirinYamani who wrote the unit. Follow for more great content.